Drone tabanlı FSO sistemlerinde hizalama hatalarının deneysel incelenmesi

Airborne free-space optical (FSO) communication links can be efficiently used for backhaul/fronthaul needs of future cellular networks. Unlike terrestrial FSO links where a fixed connection between two buildings is considered, airborne FSO links bring unique challenges due to the mobility of the drone. In this thesis, an experimental study is carried out to demonstrate the effect of pointing errors in drone-based FSO systems. A supervised learning method is employed for tracking purpose of the FSO signal. Further, power measurements are taken, and the probability distribution of the received signal power is characterized. We further present comparisons between tracking and non-tracking cases and demonstrate the benefits of the tracking system. Motivated by these results, we then purse the second experimental campaign using a MEMS scanner. Furthermore, we investigate whether the studies in the literature match real-life situations. For this, quadcopter data taken from computer simulations are used, and after power measurements are taken by driving the MEMS scanner.